000			a
999			_c29803 _d29803
008			191119b xxu||||| |||| 00| 0 eng d
020			_a9783319702049
082			_a530.1595 _bJAV
100			_aJavarone, Marco Alberto
245			_aStatistical physics and computational methods for evolutionary game theory
260			_aCham _bSpringer _c2018
300			_aix, 74 p. _bill. _c24 cm.
365			_b49.99 _cEUR _d82
490			_aSpringerBriefs in Complexity _v2191-5334
504			_aIncludes bibliographical references.
520			_aThis book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems. Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). this book will appeal to students and researchers in this burgeoning field of complex systems.
650			_aData processing
650			_aStatistical Physics
650			_aPython
650			_aStatistical Physics and Dynamical Systems
650			_aGame Theory
650			_aData-driven Science, Modeling and Theory Building
650			_aEvolutionary Biology
942			_2ddc _cBK